1.0 - 8.00 - HMMSupervised Arguments - Teradata Vantage

Teradata® Vantage Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.0
8.00
Release Date
May 2019
Content Type
Programming Reference
Publication ID
B700-4003-098K
Language
English (United States)
ModelColumn
[Optional] Specify the name of the input column that contains the model attribute. If you specify this argument, model_column must match a model_key in the PARTITION BY clause. The values in the column can be either integers or strings.
SeqColumn
The name of the column that contains the sequence attribute. The sequence_attribute must be a sequence attribute in the PARTITION BY clause. A sequence must contain more than two observation symbols.
ObservationColumn
Specify the name of the input column that contains the observed symbols. The function scans the input table to find all possible observed symbols.
Observed symbols are case-sensitive.
StateColumn
Specify the names of the input column that contains the state attributes. The state attributes are case-sensitive.
SkipColumn
[Optional] Specify the name of the input column whose value determines whether the function skips the row.
BatchSize
[Optional] Specify the number of models to process. The batch_size must be a positive INTEGER value. If you specify batch_size and there is insufficient free memory, the function reduces the batch size.
Default behavior: The function determines the batch size dynamically, based on memory conditions.